Presales Agent

What is Presales Agent?

Presales Agent automates the time-consuming work of responding to RFPs, building proposals, and researching competitors. Describe your presales situation, provide context about the prospect and their requirements, and the agent drafts polished, personalized content that your team can review and send.

It's built for presales engineers, solution consultants, and sales teams who spend significant time on documentation and research that could be accelerated with AI. By handling the structural and research-heavy parts of presales work, the agent frees your team to focus on relationship-building and strategic differentiation.

How to Use Presales Agent

Getting Started

Click Presales Agent in the sidebar.
Describe your presales need — for example, "Draft a response to an RFP for a cloud migration project" or "Generate a proposal for a mid-market fintech client."
Provide relevant context: the prospect's industry, company size, specific requirements, pain points, or any RFP questions you've received.
Review the draft, ask for revisions to specific sections, or request additional content like a competitive comparison or follow-up email.

Presales Agent is accessible from the sidebar under Agents. The chat interface supports multi-turn conversations, so you can iteratively refine a proposal across multiple messages. Paste in RFP questions, add context about the prospect, and ask the agent to adjust tone, length, or focus at any point in the conversation.

Key Features

Proposal Automation

RFP and RFI response drafting — Generates structured, detailed responses to individual RFP questions or full RFI documents. The agent formats responses to match standard procurement expectations.
Dynamic proposal generation — Builds customized proposals based on the prospect's profile, requirements, and your solution's strengths rather than filling in a static template.
Personalized follow-ups — Drafts tailored follow-up emails and communications based on previous conversation context, maintaining continuity across the sales cycle.

Competitive Intelligence

Competitive analysis — Surfaces relevant competitive intelligence and helps frame your differentiation against specific competitors in terms the prospect will find compelling.
Win/loss analysis — Analyzes deal context to surface patterns and suggest positioning adjustments based on what has worked in similar situations.

Example Use Cases

Common Scenarios

Draft a 50-page RFP response in under an hour by pasting in the questions and describing your solution.
Custom demo scripts tailored to a specific prospect's use case and the outcomes they care about.

Advanced Scenarios

Surface competitor weaknesses in areas where your solution has a clear advantage before a competitive evaluation, so your team goes into the conversation prepared.
Auto-populate proposals with the prospect's name, industry context, and solution fit rather than editing a generic template from scratch.

Tips for Best Results

Getting Better Output

Include industry context. A presales response for a healthcare client has different language, compliance concerns, and priorities than one for a retail client. The more the agent knows, the more relevant the output.
Mention specific requirements. If the RFP has particular technical requirements or evaluation criteria, include them. The agent will address them directly rather than writing generic content.
Iterate in conversation. Ask the agent to make a section more concise, add a specific case study, or adjust the tone — the presales content improves significantly through dialogue.

Common Mistakes to Avoid

Avoid providing minimal context and expecting fully accurate output — the quality of a proposal is directly tied to how much you tell the agent about the prospect and their situation.
Don't skip the review step. AI-generated proposals should always be checked by a human before sending; verify factual claims, ensure tone matches your brand voice, and confirm that specific figures are accurate.